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  2. Locality of reference - Wikipedia

    en.wikipedia.org/wiki/Locality_of_reference

    In computer science, locality of reference, also known as the principle of locality, [1] is the tendency of a processor to access the same set of memory locations repetitively over a short period of time. [2] There are two basic types of reference locality – temporal and spatial locality.

  3. Least frequently used - Wikipedia

    en.wikipedia.org/wiki/Least_frequently_used

    Each time a reference is made to that block the counter is increased by one. When the cache reaches capacity and has a new block waiting to be inserted the system will search for the block with the lowest counter and remove it from the cache, in case of a tie (i.e., two or more keys with the same frequency), the Least Recently Used key would be ...

  4. Memory hierarchy - Wikipedia

    en.wikipedia.org/wiki/Memory_hierarchy

    Most modern CPUs are so fast that for most program workloads, the bottleneck is the locality of reference of memory accesses and the efficiency of the caching and memory transfer between different levels of the hierarchy [citation needed]. As a result, the CPU spends much of its time idling, waiting for memory I/O to complete.

  5. Cache replacement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_replacement_policies

    The local TTU value is calculated with a locally-defined function. When the local TTU value is calculated, content replacement is performed on a subset of the total content of the cache node. TLRU ensures that less-popular and short-lived content is replaced with incoming content.

  6. LIRS caching algorithm - Wikipedia

    en.wikipedia.org/wiki/LIRS_caching_algorithm

    LIRS (Low Inter-reference Recency Set) is a page replacement algorithm with an improved performance over LRU (Least Recently Used) and many other newer replacement algorithms. [1] This is achieved by using "reuse distance" [ 2 ] as the locality metric for dynamically ranking accessed pages to make a replacement decision.

  7. Cache coherence - Wikipedia

    en.wikipedia.org/wiki/Cache_coherence

    In computer architecture, cache coherence is the uniformity of shared resource data that is stored in multiple local caches. In a cache coherent system, if multiple clients have a cached copy of the same region of a shared memory resource, all copies are the same.

  8. Design by contract - Wikipedia

    en.wikipedia.org/wiki/Design_by_contract

    Design by contract (DbC), also known as contract programming, programming by contract and design-by-contract programming, is an approach for designing software. It prescribes that software designers should define formal , precise and verifiable interface specifications for software components , which extend the ordinary definition of abstract ...

  9. Memoization - Wikipedia

    en.wikipedia.org/wiki/Memoization

    Memoization in Javascript – Examples of memoization in javascript using own caching mechanism and using the YUI library X-SAIGA – eXecutable SpecificAtIons of GrAmmars. Contains publications related to top-down parsing algorithm that supports left-recursion and ambiguity in polynomial time and space.